Pixel-Level Pavement Distress Assessment Using Instance Segmentation 事件

Pixel-Level Pavement Distress Assessment Using Instance Segmentation arXiv:2605.26095v1 Announce Type: new Abstract: Automated pavement distress assessment requires more than image-level classification or coarse bounding box detection, demanding precise localization of thin, branching, and irregular cracks to achieve the geometric precision necessary for maintenance-relevant quantification. This paper presents a vision-based pavement distress analysis system based on Mask R-CNN instance segment